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Development of an accurate low-cost sensor glove for learning grasping skills

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Publications

2021

Denz, R.; Demirci, R.; Cansev, E.; Bliek, A.; Beckerle, P.; Rueckert, E.; Rottmann, N.

A high-accuracy, low-budget Sensor Glove for Trajectory Model Learning Proceedings Article

In: International Conference on Advanced Robotics , pp. 7, 2021.

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A high-accuracy, low-budget Sensor Glove for Trajectory Model Learning




Intrinsic Motivation Learning in Stochastic Neural Networks

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Publications

2019

Tanneberg, Daniel; Peters, Jan; Rueckert, Elmar

Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks Journal Article

In: Neural Networks - Elsevier, vol. 109, pp. 67-80, 2019, ISBN: 0893-6080, (Impact Factor of 7.197 (2017)).

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Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks

2017

Tanneberg, Daniel; Peters, Jan; Rueckert, Elmar

Efficient Online Adaptation with Stochastic Recurrent Neural Networks Proceedings Article

In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2017.

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Efficient Online Adaptation with Stochastic Recurrent Neural Networks

Tanneberg, Daniel; Peters, Jan; Rueckert, Elmar

Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals Proceedings Article

In: Proceedings of the Conference on Robot Learning (CoRL), 2017.

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Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals




Teaching the Humanoid Robot ICub Manipulation Skills

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Stochastic Neural Networks for Robot Motion Planning

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Publications

2016

Tanneberg, Daniel; Paraschos, Alexandros; Peters, Jan; Rueckert, Elmar

Deep Spiking Networks for Model-based Planning in Humanoids Proceedings Article

In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2016.

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Deep Spiking Networks for Model-based Planning in Humanoids

Rueckert, Elmar; Kappel, David; Tanneberg, Daniel; Pecevski, Dejan; Peters, Jan

Recurrent Spiking Networks Solve Planning Tasks Journal Article

In: Nature Publishing Group: Scientific Reports, vol. 6, no. 21142, 2016.

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Recurrent Spiking Networks Solve Planning Tasks




Learning Bimanual Manipulation Primitives

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Learning Multimodal Solutions with Movement Primitives

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Publications

2015

Rueckert, Elmar; Mundo, Jan; Paraschos, Alexandros; Peters, Jan; Neumann, Gerhard

Extracting Low-Dimensional Control Variables for Movement Primitives Proceedings Article

In: Proceedings of the International Conference on Robotics and Automation (ICRA), 2015.

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Extracting Low-Dimensional Control Variables for Movement Primitives